Triple
T12990420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yemi Eberechi Alade |
E321886
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
My Man
"My Man" is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its catchy melody and romantic theme.
|
E129928
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: My Man | Statement: [Yemi Eberechi Alade, notableWork, My Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: My Man Context triple: [Yemi Eberechi Alade, notableWork, My Man]
-
A.
My Man
"My Man" is a classic torch song most famously performed by Barbra Streisand in the 1968 musical film *Funny Girl*.
-
B.
I’m Your Man
I’m Your Man is a 1988 studio album by Leonard Cohen that marked his shift toward a more synth-driven sound and includes some of his most acclaimed late-career songs.
-
C.
My Old Man
"My Old Man" is a short story by Ernest Hemingway that explores themes of father-son relationships, disillusionment, and the harsh realities of adult life.
-
D.
My Old Man
"My Old Man" is a reflective folk song by Joni Mitchell from her 1971 album *Blue*, exploring themes of love, independence, and emotional vulnerability.
-
E.
Mellow My Man
"Mellow My Man" is a jazz-infused hip hop song by The Roots, showcasing their live-instrumentation style and lyrical prowess.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: My Man Triple: [Yemi Eberechi Alade, notableWork, My Man]
Generated description
"My Man" is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its catchy melody and romantic theme.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: My Man Target entity description: "My Man" is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its catchy melody and romantic theme.
-
A.
My Man
chosen
"My Man" is a classic torch song most famously performed by Barbra Streisand in the 1968 musical film *Funny Girl*.
-
B.
I’m Your Man
I’m Your Man is a 1988 studio album by Leonard Cohen that marked his shift toward a more synth-driven sound and includes some of his most acclaimed late-career songs.
-
C.
My Old Man
"My Old Man" is a short story by Ernest Hemingway that explores themes of father-son relationships, disillusionment, and the harsh realities of adult life.
-
D.
My Old Man
"My Old Man" is a reflective folk song by Joni Mitchell from her 1971 album *Blue*, exploring themes of love, independence, and emotional vulnerability.
-
E.
Mellow My Man
"Mellow My Man" is a jazz-infused hip hop song by The Roots, showcasing their live-instrumentation style and lyrical prowess.
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e75b9f88190a54372c2a1223a4e |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8fb70f481908a9a4ca04d6bf93b |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6baa76e8c8190b84fd31657ef3385 |
completed | May 3, 2026, 3:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb7a0ae08190813411fa677430aa |
completed | May 3, 2026, 3:05 a.m. |
Created at: April 9, 2026, 8:43 p.m.